class_docstr: Optimising functions defined on Neural Networks. 
docstr: Initial qinfos. 
docstr_tok: ["Initial","qinfos","."]
code: def _get_initial_qinfos(self, num_init_evals):
      """Initial qinfos."""
      ret = get_initial_pool(self.domain.nn_type)
      np.random.shuffle(ret)
      ret = ret[:num_init_evals]
      return [Namespace(point=x) for x in ret]
  
file_path: dragonfly/dragonfly/nn/nn_ga_optimiser.py
imports: from argparse import Namespace
  import numpy
  from .nn_opt_utils import get_initial_pool
  from ..opt.ga_optimiser import GAOptimiser, ga_opt_args
  from ..utils.option_handler import load_options
  from ..utils.reporters import get_reporter
label_desc: Use image node_id 1 for calling the NNGAOptimiser obj's underlying member method code with example usage: obj._get_initial_qinfos(num_init_evals) and returns: unknown